Gastprofessor Dr. Ralph Peeters

Chair of Information Systems III: Enterprise Data Analysis

B6, 26, Room C 1.04

Tel.: +49 621 181 2648

I am Gastprofessor in the focus group Natural Language Processing and Information Retrieval in the Data and Web Science Group since February 2026.

Research Interests

LLM-based Agents
Entity Matching
Data Integration

Teaching

Large Language Models and Agents (HWS2024/FSS2025) – Course Creator and Lecturer
Data Mining (2019–2024) – TA and Lecture Stand-in
Web Mining (FSS2023/2025) – TA
Web Data Integration (HWS2019/2022/2023/2024) – TA
Large-Scale Data Integration Seminar (2020–2025) – Mentoring and Organization
Team Projects (HWS2020/2021) – Supervision and Organization
Master Thesis Supervision (2019–2025)

Publications

Steiner, A., Peeters, R. and Bizer, C. (2026). MCP vs RAG vs NLWeb vs HTML: a comparison of the effectiveness and efficiency of different agent interfaces to the web. In , WWW '26 : Proceedings of the ACM Web Conference 2026 (S. 8493-8496). , Association for Computing Machinery: New York, NY, USA.
Peeters, R., Steiner, A. and Bizer, C. (2025). Entity matching using large language models. In , Proceedings 28th International Conference on Extending Database Technology (EDBT 2025), Barcelona, Spain, March 25-March 28 (S. 529–541). OpenProceedings, OpenProceedings.org: Konstanz.
Steiner, A., Peeters, R. and Bizer, C. (2025). Fine-tuning large language models for entity matching. In , 2025 IEEE 41st International Conference on Data Engineering Workshops : proceedings, 19–23 May 2025 Hong Kong SAR, China (S. 9–17). , IEEE Computer Society: Los Alamitos, CA [u. a.].
Peeters, R., Brinkmann, A. and Bizer, C. (2024). The Web Data Commons Schema.org Table Corpora. In , WWW '24 companion : companion proceedings of the ACM Web Conference 2024 (S. 1079-1082). , Association for Computing Machinery: New York, NY, United States.
Peeters, R. and Bizer, C. (2023). Using ChatGPT for Entity Matching. In , New Trends in Database and Information Systems : ADBIS 2023 short papers, doctoral consortium and workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings (S. 221–230). Communications in Computer and Information Science, Springer: Cham.
Peeters, R., Der, R. C. and Bizer, C. (2023). WDC products: A multi-dimensional entity matching benchmark. In , Proceedings 27th International Conference on Extending Database Technology (EDBT 2024), Paestum, Italy, March 25 – March 28 (S. 22–33). Advances in Database Technology, OpenProceedings.org: Konstanz.
Korini, K., Peeters, R. and Bizer, C. (2022). SOTAB: The WDC Schema.org table annotation benchmark. In , SemTab 2022 : Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, co-located with the 21st International semantic Web Conference (ISWC 2022), virtual conference, October 23–27, 2022 (S. 14–19). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Peeters, R. and Bizer, C. (2022). Cross-language learning for product matching. In , Companion Proceedings of the Web Conference 2022 (S. 236–238). , ACM: New York, NY.
Peeters, R. and Bizer, C. (2022). Integrating product data using deep learning : Art.-Nr. 11. In , Proceedings of the 7th bwHPC Symposium (S. 59–62). , Universität Ulm: Ulm.
Peeters, R. and Bizer, C. (2022). Supervised contrastive learning for product matching. In , Companion Proceedings of the Web Conference 2022 (S. 248–251). , ACM: New York, NY.
Peeters, R. and Bizer, C. (2021). Dual-objective fine-tuning of BERT for entity matching. In , 47th International Conference on Very Large Data Bases (VLDB 2021) : Copenhagen, Denmark, August 16–20, 2021 (S. 1913-1921). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.